Results 61 to 70 of about 24,230 (259)
Advanced Electronic Materials, EarlyView.ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Effectiveness of the RIFE Algorithm in 3D Animation Motion Interpolation : A Case Study Approach
Jurnal SisfokomThis study evaluates the performance of the Real-Time Intermediate Flow Estimation (RIFE) algorithm in enhancing the temporal continuity and perceptual quality of 3D-rendered animation.
Arie Rahmat Ramdhani, Ema Utami
doaj +1 more source
Clustering stability evaluation method based on SSIM
Journal of Algorithms & Computational Technology, 2019 In the clustering validity analysis, three main methods including intra-class cohesion, inter-class separation, and artificial judgment index can be used to evaluate the clustering results.
Yan Zhu Hu +4 more
doaj +1 more source
CORDIC Based SSIM Computation in FPGA [PDF]
, 2015 Images may be distorted by imaging system or by transfer it from one system to another or to process for different application. So, it is important to calculate the quality of the image before presenting to the viewer.
Dhali, Sanjit
core
CW-SSIM based image classification
, 2011 Complex wavelet structural similarity (CW-SSIM) index has been proposed as a promising image similarity measure that is robust to small geometric distortions such as translation, scal-ing and rotation of images, but how to make the best use of it in ...
Zhou Wang, Yang Gao, Abdul Rehman
core +1 more source
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Raw sinogram and SSIM distributions.
, 2016 (a) A raw sinogram including invalid data at both ends, we can see that the invalid data are collected at a non-rotational stage and they are nearly the same, thus, they are strip-like on the raw sinogram; (b) SSIM distributions of dataset P1 and P2.
Gang Zhao (161405) +7 more
core +1 more source
A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images
Advanced Intelligent Discovery, EarlyView.A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski +5 more
wiley +1 more source
Video quality assessment method: MD-SSIM [PDF]
, 2015 In this paper, video quality assessment (VQA) for compression losses is the main focus. A new method, MD-SSIM (Mean Squared Error Difference SSIM) is used for detecting the spatial distortion.
Bong, David B.L., Woei-Tan, Loh
core
Average SSIM of two groups of images of MIT-5K.
, 2022 Average SSIM of two groups of images of MIT-5K.
Lihua Bi (2265031) +4 more
core +1 more source